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Posted to issues@spark.apache.org by "Kousuke Saruta (JIRA)" <ji...@apache.org> on 2016/01/06 10:25:40 UTC
[jira] [Resolved] (SPARK-12340) overstep the bounds of Int in
SparkPlan.executeTake
[ https://issues.apache.org/jira/browse/SPARK-12340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kousuke Saruta resolved SPARK-12340.
------------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
> overstep the bounds of Int in SparkPlan.executeTake
> ---------------------------------------------------
>
> Key: SPARK-12340
> URL: https://issues.apache.org/jira/browse/SPARK-12340
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: QiangCai
> Assignee: QiangCai
> Fix For: 2.0.0
>
>
> Reproduce
>
> sql e.g. select * from talbe1 where c1 = 'abc' limit 2147483638
>
> n will be 2147483638 in SparkPlan.executeTake(n: Int). If the first partition just have one row ( buf.size will be one), the result of cod e numPartsToTry = (1.5 * n * partsScanned / buf.size).toInt will be Int.MaxValue. Then math.min(partsScanned + numPartsToTry, totalParts) will be Int.MinValue (-2147483648) .
> Exception
> java.lang.IllegalArgumentException: Attempting to access a non-existent partition: -2147483648. Total number of partitions: 200
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:531)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$submitJob$2.apply(DAGScheduler.scala:530)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.DAGScheduler.submitJob(DAGScheduler.scala:530)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:558)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839)
> at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:215)
> at org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:207)
> at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386)
> at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
> at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904)
> at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385)
> at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1315)
> at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1378)
> at org.apache.spark.sql.DataFrame.showString(DataFrame.scala:178)
> at org.apache.spark.sql.hbase.HBaseSQLCliDriver$.process(HBaseSQLCliDriver.scala:122)
> at org.apache.spark.sql.hbase.HBaseSQLCliDriver$.processLine(HBaseSQLCliDriver.scala:102)
> at org.apache.spark.sql.hbase.HBaseSQLCliDriver$.main(HBaseSQLCliDriver.scala:80)
> at org.apache.spark.sql.hbase.HBaseSQLCliDriver.main(HBaseSQLCliDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:601)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
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